Forecasts relating to the main components of smog - PM2,5, PM10 and benzene. Forecasts are generated by mathematical models including weather data and results from measurements of air pollutants. Forecast models were devised using AI methods - neural networks.

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Explore databases. Find quickly a desired variable. Create analytic sets of data. You can sort, gather and present databases according to personal preferences. Import own data and integrate it with economic and market data coming from all over the world.

ExMetrix - we provide with the platform that is used to a broadly-understood data exploration. The integration between huge databases and complex database tools enable easy and fast transfer from huge amount of individual data to synthetic knowledge contained in this data. After having been given access to the platform, the user can conduct own research and analysis and create own prediction models.

ExMetrix - we analyse data on request of the user. The user can provide own data or integration among the user’s and our data is also possible. We create and optimise various economic, demographic and market phenomena models of prediction nature.

ExMetrix - we offer access to our models that forecast major markets and economic indicators.

Explore databases. Find quickly a variable that you are interested in. Create your own data groups for analysis. You can sort, group and view databases according to personal preferences. Add own data and integrate it with economic and market data coming from all over the world.

Discover relations among data. Explore whether values you are interested in are connected with other values; determine their strength and a character of these connections. Create databases related to each other.